IT Analyst Applications ( Data Engineer – AI & Analytics )

Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other.  We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Your Impact Shapes the World at Caterpillar Inc When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Job Summary We are seeking a skilled and experienced IT Analyst Applications ( Data Engineer – AI & Analytics ) to join our India GCC – GCIO ETL Services -CAT IT Division. Caterpillar is accelerating data‑driven decision making across engineering, manufacturing, supply chain, services, and digital products. As a Data Engineer with AI skillset, you will design and build robust data pipelines, features, and platforms that power analytics, machine learning, and GenAI use cases—such as predictive maintenance, parts demand forecasting, warranty analytics, and intelligent knowledge retrieval. The preference for this role is to be based out of Bangalore – Caterpillar PSN What you will do Data Pipelines & Integration Design, build, and maintain scalable batch/streaming pipelines (e.g., telematics/IoT, SAP, PLM, MES, service/warranty, dealer systems). Implement CDC, schema evolution, and data quality checks (Great Expectations/Deequ/custom). Develop feature pipelines for ML and analytics (feature stores, time-series transformations). Data Modelling & Storage Model data for lakes/lakehouses/warehouses (Delta/Parquet/Iceberg) following medallion or similar architectures. Optimize partitioning, compaction, and performance for large datasets. AI/ML Enablement Partner with Data Scientists to productionize models (batch/real-time), build inference pipelines/APIs, and manage feature stores. Contribute to MLOps (CI/CD for models and data, model versioning, monitoring, drift detection). Support GenAI use cases (RAG pipelines, vector indexing, prompt orchestration, governance). Platform & DevOps Implement infrastructure‑as‑code, CI/CD and observability (lineage, cataloging, logging/metrics). Enforce security, privacy, and compliance (PII handling, role-based access, data contracts). What you will have  Bachelor’s or master’s degree in computer science, Data Engineering, Industrial Engineering, or related field. Overall, at least 7+ years of experience in Data engineering Strong proficiency in Snowflake, SQL, Python, and ETL tools (e.g. Snaplogic). Familiarity with cloud platforms (AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, Redshift). AI/MLOps Exposure: Building feature pipelines, packaging and deploying models (batch/real‑time). Model serving (Databricks Model Serving, MLflow, Azure ML etc), model registry, experiment tracking. Familiarity with vector databases and RAG patterns. Behavioural Competencies Ownership & bias for action; thrives in a product operating model. Clear communicator who can bridge business and engineering. Pragmatic, security‑first, automation‑oriented mindset. Collaborative partner across global, cross‑functional teams . This position requires candidate to work a 5-day -a -week schedule in the office Shift Timing-01:00PM-10:00PM IST Skills desired: Core Application Systems: Knowledge of major production application systems used for delivery of services to internal and external clients; ability to leverage major production application systems in diverse situations. Level Working Knowledge: • Helps create contingency plans to mitigate impact of disruption on core applications. • Identifies key players, criticalities, roles, and responsibilities. • Investigates application-related issues with both business and IT professionals. • Recommends enhancements for a major application system or related subsystems. • Works with core application systems for a major business unit or function. Problem Solving: Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply knowledge of problem solving appropriately to diverse situations. Level Working Knowledge: • Identifies and documents specific problems and resolution alternatives. • Examines a specific problem and understands the perspective of each involved stakeholder. • Develops alternative techniques for assessing accuracy and relevance of information. • Helps to analyze risks and benefits of alternative approaches and obtain decision on resolution. • Uses fact-finding techniques and diagnostic tools to identify problems. Application Design, Architecture: Knowledge of basic activities and deliverables of application design; ability to utilize application design methodologies, tools and techniques to convert business requirements and logical models into a technical application design. Level Extensive Experience: • Facilitates in application design reviews and walkthroughs. • Creates and evaluates technical alternatives for complex applications. • Interprets application services such as API; integrates them with technical design. • Develops various, distinct and multiple technical application designs. • Prepares technical design documents and blueprints for applications. • Explores and evaluates application design considerations for multiple technologies. Implementation: Knowledge of how to run applications for organizations; ability to implement application software within an organization and help end-users perform specific tasks (ex: accounting or graphic design). Level Working Knowledge: • Tracks problems associated with the quality and effectiveness of application software. • Researches the benefits and drawbacks of an organization's application software. • Drafts application software usage for the department's needs. • Provides instant support for end users of application software. • Implements a specific application software under the supervision of management. Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Level Working Knowledge: • Follows policies, practices and standards for determining functional and informational requirements. • Confirms deliverables associated with requirements analysis. • Communicates with customers and users to elicit and gather client requirements. • Participates in the preparation of detailed documentation and requirements. • Utilizes specific organizational methods, tools and techniques for requirements analysis. System and Technology Integration: Knowledge of the features and facilities of systems; ability to integrate and communicate among applications, databases and technology platforms. Level Working Knowledge: • Assists with current and planned integration initiatives. • Explores major issues and considerations for successful system integration. • Works with applications, data, technology bridges and a variety of platforms. • Works with existing interfaces as well as integration and migration plans within own area. • Plays an active role in local integration efforts. System Testing: Knowledge of system and software testing; ability to design, plan and execute system testing strateg